DIE - REDES - Artículos en revistas internacionales / Articles in international journalshttp://hdl.handle.net/10016/27382015-08-02T22:31:38Z2015-08-02T22:31:38ZOptimal operation of a pumped-storage hydro plant that compensates the imbalances of a wind power producerJaramillo Duque, ÁlvaroCastronuovo, Edgardo D.Sánchez, IsmaelUsaola, Juliohttp://hdl.handle.net/10016/157722013-09-30T16:44:28Z2011-09-01T00:00:00ZOptimal operation of a pumped-storage hydro plant that compensates the imbalances of a wind power producer
Jaramillo Duque, Álvaro; Castronuovo, Edgardo D.; Sánchez, Ismael; Usaola, Julio
The participation of wind energy in electricity markets requires providing a forecast for future energy production of a wind generator, whose value will be its scheduled energy. Deviations from this schedule because of prediction errors could imply the payment of imbalance costs. In order to decrease these costs, a joint operation between a wind farm and a hydro-pump plant is proposed; the hydro-pump plant changes its production to compensate wind power prediction errors. In order to optimize this operation, the uncertainty of the wind power forecast is modeled and quantified. This uncertainty is included in an optimization problem that shifts the production of the hydro-pump plant in an optimal way, aiming at reducing the imbalance costs. The result of such a method is profitable for both participants, the wind farm and the hydro-pump plant. A realistic test case is used to evaluate the proposed method.
2011-09-01T00:00:00ZProbabilistic load flow in systems with wind generationUsaola, Juliohttp://hdl.handle.net/10016/89712014-04-08T09:36:01Z2009-12-01T00:00:00ZProbabilistic load flow in systems with wind generation
Usaola, Julio
A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind generation, (ii) load and (iii) generation availability in power systems is proposed. Dependence between random variables has been considered. The method is based on the properties of cumulants of random variables. Cornish-Fisher
expansion series are used to obtain the cumulative distribution function (CDF) of the output variables. Multimodal CDF are obtained by convolutions, whose number has been minimised in order to decrease the
computation requirements.
2009-12-01T00:00:00ZProbabilistic load flow with wind production uncertainty using cumulants and Cornish–Fisher expansionUsaola, Juliohttp://hdl.handle.net/10016/52892013-09-30T17:07:39Z2009-01-01T00:00:00ZProbabilistic load flow with wind production uncertainty using cumulants and Cornish–Fisher expansion
Usaola, Julio
This paper proposes a method for probabilistic load flow in networks with wind generation, where the uncertainty of the production is non-Gaussian. The method is based on the properties of the cumulants of the probability density functions (PDF) and the Cornish–Fisher expansion, which is more suitable for non-Gaussian PDF than other approaches, such as Gram–Charlier series. The paper includes examples and comparisons between different methods proposed in literature.
2009-01-01T00:00:00ZCombined hydro-wind generation bids in a pool-based electricity marketAngarita, JorgeUsaola, JulioMartínez-Crespo, Jorgehttp://hdl.handle.net/10016/36332013-09-30T17:13:08Z2009-01-01T00:00:00ZCombined hydro-wind generation bids in a pool-based electricity market
Angarita, Jorge; Usaola, Julio; Martínez-Crespo, Jorge
Present regulatory trends are promoting the irect participation of wind energy in electricity markets. The final result of these markets sets the production scheduling for the operation time, including a power commitment from the wind generators. However, wind resources are uncertain, and the final power delivered usually differs from the initial power committed. This imbalance produces an overcost in the system, which must be paid by those who produce it, e.g., wind generators among others. As a result, wind farm revenue decreases, but it could increase by allowing wind farms to submit their bids to the markets together with a hydro generating unit, which may easily modify its production according to the expected imbalance. This paper presents a stochastic optimization technique that maximizes the joint profit of hydro and wind generators in a pool-based electricity market, taking into account the uncertainty of wind power prediction.
2009-01-01T00:00:00Z